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Python – Get the datatypes of columns
To get the datatypes of columns, use the info() method. Let us first import the required library −
import pandas as pd
Create a DataFrame with 2 columns having different datatypes −
dataFrame = pd.DataFrame( { "Student": ['Jack', 'Robin', 'Ted', 'Marc', 'Scarlett', 'Kat', 'John'],"Roll Number": [ 5, 10, 3, 8, 2, 9, 6] } )
Get the complete information about datatypes −
dataFrame.info()
Example
Following is the complete code −
import pandas as pd # Create DataFrame dataFrame = pd.DataFrame( { "Student": ['Jack', 'Robin', 'Ted', 'Marc', 'Scarlett', 'Kat', 'John'],"Roll Number": [ 5, 10, 3, 8, 2, 9, 6] } ) print"DataFrame ...\n",dataFrame print"\nInfo and the datatypes of the columns in the dataframe:\n" # get the datatypes info print(dataFrame.info())
Output
This will produce the following output −
DataFrame ... Roll Number Student 0 5 Jack 1 10 Robin 2 3 Ted 3 8 Marc 4 2 Scarlett 5 9 Kat 6 6 John Info and the datatypes of the columns in the dataframe: <class 'pandas.core.frame.DataFrame'> RangeIndex: 7 entries, 0 to 6 Data columns (total 2 columns): Roll Number 7 non-null int64 Student 7 non-null object dtypes: int64(1), object(1) memory usage: 184.0+ bytes None
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